Data Analytics Program by CareerFoundry: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based	Learning efforts 15-20 Hours Per Week

Course overview

CareerFoundry’s Data Analytics Program is an 8-month online course that helps you become a data analyst within the stipulated duration. The curriculum offers a flexible structure, where you can conveniently study alongside your other commitments. Moreover, an industry expert mentor and daily tutor will be available for regular feedback and hands-on learning.

The Data Analytics certification syllabus covers all the required topics, including analysing data, preparing data, storytelling, Python fundamentals, SQL, dashboards, etc. The curriculum features flexible project milestones, helping you complete exercises/assessments according to your pace. You can also use the time and progress meter to evaluate your performance speed.

Given its employment-centric approach, the Data Analytics Program also features real-world portfolio projects. Completing these, you can build your resume with the Career Specialist’s help to highlight the projects. You’ll also secure a job within 6 months of graduating from this course. If not, you get your payment back.

Course and certificate fees

Fees information

$ 7,505 $7,900

There are two payment options to pay the Data Analytics Program fees.
You can choose between the upfront or monthly payment options. Their prices are given below.

Data Analytics Program fee structure

Payment Option	Payable Fees in INR
Upfront	$7505
Monthly	$7900

certificate availability

Yes

certificate providing authority

CareerFoundry

Who it is for

The Data Analytics online course is ideal for the following: -

Beginners looking for a new career in data analytics
Those with analytical experience but aren’t job-ready
Those wanting to learn data analytics to excel in their current career
The Data Analytics online course is ideal for the following: -
Beginners looking for a new career in data analytics
Those with analytical experience but aren’t job-ready
Those wanting to learn data analytics to excel in their current career

Eligibility criteria

The Data Analytics certification course by CareerFoundry has no enrollment criteria. However, you will require a computer (PC/Mac) with an active internet connection and a B2-level proficiency in spoken and written English.

What you will learn

Knowledge of data mining Data science knowledge Knowledge of data visualization Sql knowledge Knowledge of python Database management

Whether you’re a beginner, intermediate, or a professional in this domain, the Data Analytics Program will teach you all the concepts to master it. Here are the areas you’ll be adept in: -

Data analytics essentials, including preparing and analysing data
Storytelling
Data visualisation
SQL and databases
Python fundamentals
Dashboards
Exploratory data analysis
Data ethics
Data mining

The syllabus

Module 1: Introduction to Data Analytics

Data Analytics in Practice
Introduction to Excel
Understanding Your Data Set
Cleaning Your Data
Grouping & Summarizing Your Data
Introduction to Analytical Methods
Conducting a Descriptive Analysis
Developing Insights
Visualizing Data Insights
Storytelling with Data

Module 2: Data Immersion

Preparing & Analyzing Data

A Brief History of Data Analytics
Starting with Requirements
Designing a Data Research Project
Sourcing the Right Data
Data Profiling & Integrity
Data Quality Measures
Data Transformation & Integration
Conducting Statistical Analyses
Statistical Hypothesis Testing
Consolidating Analytical Insights

Data Visualization & Storytelling

Intro to Data Visualization
Visual Design Basics & Tableau
Comparison & Composition Charts
Temporal Visualizations & Forecasting
Statistical Visualizations: Histograms & Box Plots
Statistical Visualizations: Scatterplots & Bubble Charts
Spatial Analysis
Textual Analysis
Storytelling with Data Presentations
Presenting Findings to Stakeholders

Databases & SQL for Analysts

Intro to Relational Databases
Data Storage & Structure
SQL for Data Analysts
Database Querying in SQL
Filtering Data
Summarizing & Cleaning Data in SQL
Joining Tables of Data
Performing Subqueries
Common Table Expressions
Presenting SQL Results

Python Fundamentals for Data Analysts

Introduction to Programming for Data Analysts
Jupyter Fundamentals & Python Data Types
Introduction to Pandas
Data Wrangling & Subsetting
Data Consistency Checks
Combining & Exporting Data
Deriving New Variables
Grouping Data & Aggregating Variables
Intro to Data Visualization with Python
Coding Etiquette & Excel Reporting

Data Ethics & Applied Analytics

Intro to Big Data
Data Ethics: Data Bias
Data Ethics: Security & Privacy
Intro to Data Mining
Intro to Predictive Analysis
Time Series Analysis & Forecasting
Using GitHub as an Analyst
Preparing a Data Analytics Portfolio

Advanced Analytics & Dashboard Design

Sourcing Open Data
Exploring Relationships
Geographical Visualizations with Python
Supervised Machine Learning: Regression
Unsupervised Machine Learning: Clustering
Sourcing & Analyzing Time Series Data
Creating Data Dashboards

Module 3: Specialization

Network Visualizations and Natural Language Processing with Python

Intro to Freelance and Python Tools
Setting Up the Python Workspace
Virtual Environment in Python
Accessing Web Data with Data Scraping
Text Mining
Intro to NLP and Network Analysis
Creating Network Visualizations

Dashboards with Python

Tools for Creating Dashboards
Project Planning and Sourcing Web Data with an API
Fundamentals of Visualization Libraries Part 1
Fundamentals of Visualization Libraries Part 2
Advanced Geospatial Plotting
Creating a Python Dashboard
Refining and Presenting a Dashboard

Basics of Machine Learning for Analysts

The History and Tools of Machine Learning
Ethics and Direction of Machine Learning Programs
Optimization in Relation to Problem-Solving
Supervised Learning Algorithms Part 1
Supervised Learning Algorithms Part 2
Presenting Machine Learning Results

Real-World Applications of Machine Learning

Unsupervised Learning Algorithms
Complex Machine Learning Models and Keras Part 1
Complex Machine Learning Models and Keras Part 2
Evaluating Hyperparameters
Visual Applications of Machine Learning
Presenting Your Final Results

Admission details

Visit the official portal to access the Data Analytics Program.
Scroll down to the ‘Price and payment options section. Select the payment track you prefer and click on ‘Enrol now.’
Create your student account by entering relevant details. Alternatively, you can press the ‘Login’ option to sign in with your registered email and password.
Next, choose your payment plan and enter a preferred starting date.
Complete the requisite payment to get enrolled.

Filling the form

There’s no form to join CareerFoundry’s Data Analytics online course. Instead, you can simply log in or register. Enter your email address, full name, and password in the registration form.

How it helps

The Data Analytics certification will help you prove your expertise in data analytics tools, processes, and skills. Moreover, CareerFoundry offers real-world projects to help you build a compelling portfolio with a Career Specialist’s help.

An experienced data analyst will evaluate your submissions within 24 hours. So, you will get instant feedback and valuable mentorship to complete the course. CareerFoundry also guarantees that you will secure a job position within six months of completing this Program. If not, they’ll refund your course fee payment.

FAQs

Do I need a background in analytics to join this course?

No. You can join the Data Analytics Program as a beginner.

Can I apply for a refund?

Yes. You can cancel the course within 14 days. CareerFoundry will provide a full refund.

Are scholarships available?

Currently, there are no funds or scholarships available for this course.

Who has approved this Program?

The Data Analytics Program is approved by ZFU (Staatliche Zentralstelle für Fernunterricht), the state body for distance learning in Germany.

Where can I apply for Jobs after the course completion?

The Data Analytics Program will help you apply for a data analyst or junior data analyst’s role.

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Data Analytics Program

Online

10 Months

$ 7505 7900